Effect of Rainfall and Water Level Rise and Fall on Stability of Core Wall Embankment
Abstract
:1. Introduction
2. Engineering Overview and Numerical Model
2.1. Engineering Background
2.2. Calculation Model
- (1)
- Model dimensions: The height and top width of the embankment is 6 m. The upstream and downstream slope ratio is 1:1.25. The embankment is filled with gravelly medium-coarse sand. The core wall is made of clay with a top width of 1 m and a bottom width of 2.5 m. The embedment depth of the core wall is 1 m. The design flood level is 4 m.
- (2)
- Monitoring points: Monitoring points Pi, Hi, and Li are located at the upstream, downstream, and center sections of the core wall embankment. The heights of P1, P2, and P3 are 10.5 m, 9.0 m, and 7.5 m, respectively. The heights of L1, L2, and L3 are 10.5 m, 9.0 m, and 7.5 m, respectively. The heights of H1, H2, and H3 are 6.3 m, 5.8 m, and 5.3 m, respectively. All monitoring points Pi, Hi, and Li are positioned 0.5 m from the embankment surface
- (3)
- Boundary condition: Geo-studio software (2022) was used to conduct seepage–stress–stability coupled analysis. The model adopts quadrilateral mesh division. The upstream embankment slope bd is the water level fluctuation boundary, efg is the drainage boundary, ghab is the impermeable boundary, and during rainfall, defg is the flow boundary.
2.3. Calculation Parameters and Working Condition Design
2.3.1. Calculation Parameters
- (1)
- Rainfall: It is distributed throughout the year, with 50% occurring in July and August. The most intense rainstorms typically occur in July, as shown in Figure 3. On average, over many years, 85.5% of the maximum 72 h rainfall occurs within the first 24 h, while 64.1% of the maximum 72 h flood volume occurs within the first 24 h. In this study, the July rainfall is considered the most unfavorable seepage boundary condition, with a rainfall intensity of 30 mm/day and a duration of 72 h.
- (2)
- Rate of Water Level Rise and Fall: The initial river water level is 5 m, and the design flood level is 9 m, resulting in a water level fluctuation of 4 m. To study the impact of the rate of water level change on the pore water pressure within the embankment, it is assumed that the rates of rise and fall are 0.8 m/day (denoted as v1), 2 m/day (denoted as v2), and 4 m/day (denoted as v3), respectively.
- (3)
- Material Parameters: The material parameters for different regions of the core wall embankment are determined based on field investigations and laboratory tests. It is assumed that the materials in each region are isotropic, with their physical and mechanical parameters listed in Table 1. The Fredlund–Xing model is used in this study to obtain the volumetric water content function for unsaturated soil, as shown in Figure 4.
2.3.2. Working Condition Design
3. A Study of the Key Factors Influencing Embankment Stability
3.1. Analysis of Pore Water Pressure Under Different Water Level Heights Coupled with Rainfall
3.1.1. Pore Water Pressure Analysis Under Low Water Level Coupled with Rainfall (Case A1)
3.1.2. Pore Water Pressure Analysis Under High Water Level Coupled with Rainfall (Working Condition A2)
3.2. Analysis of the Effect of Water Level Rise and Fall Velocity on Pore Water Pressure
3.3. Analysis of the Impact of Coupled Effects of Water Level Rise and Fall and Rainfall on Pore Water Pressure
4. Analysis of the Effect of Water Level Rise and Fall Coupled with Rainfall on Embankment Stability
4.1. Stability Analysis of Embankments
4.1.1. Effects of Water Level Rise Coupled with Rainfall on the Stability of Embankment Slopes
4.1.2. Effects of Water Level Fall Coupled with Rainfall on the Stability of Embankment Slopes
4.2. Discussion on the Relationship Between Slope Stability Factor and Permeability Coefficient
4.2.1. The Effect of the Permeability Coefficient of the Embankment Body on the Stability Factor of the Embankment Slope
4.2.2. Discussion on the Relationship Between Slope Stability Factor and Lag Rate of the Phreatic Line
5. Conclusions
- (1)
- There is a lag phenomenon in the change in pore water pressure inside the embankment, and the lag time of the change in pore water pressure is positively correlated with the depth of the soil body. Rainfall infiltration leads to a rise in pore water pressure and a decrease in the effective stress of the soil body, which in turn reduces the stability of the embankment slope.
- (2)
- When the water level changes, the faster the rate of water level rise and fall, the steeper the pore water pressure change curve and the higher the rate of change. When the water level rises, the seepage force from the outside to the inside has a slope protection effect and improves the stability of the embankment slope. When the water level falls, the seepage force from the inside to the outside is in the same direction as the landslide, leading to a decrease in the stability of the embankment slope.
- (3)
- The stability factor of the embankment slope is related to the permeability coefficient. When the water level decrease percentage is between 0.0 and 0.3, the permeability coefficient of the slope is negatively correlated with the slope stability factor. When the water level decrease percentage is between 0.3 and 1.0, the permeability coefficient is positively correlated with the slope stability factor. The slope stability factor decreases initially and then increases as the water level decreases. At a water level decrease percentage of 0.7, the embankment slope reaches its most critical point, with the lowest stability factor.
- (4)
- A fitting formula between the slope stability factor and the lag rate of the phreatic line is established. This formula can quickly assess the minimum stability factor of the embankment slope during the water level drawdown process, providing a theoretical reference for the operational safety of core wall embankments.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Wang, X.J.; Xia, J.Q.; Li, Q. Construction of flood loss rate function and assessment of flood losses in the Middle and lower reaches of the Chang jiang River. Water Resour. Prot. 2023, 39, 88–98. [Google Scholar]
- Trigg, M.A.; Birch, C.E.; Neal, J.C.; Bates, P.D.; Smith, A.; Sampson, C.C.; Yamazaki, D.; Hirabayashi, Y.; Pappenberger, F.; Dutra, E.; et al. The credibility challenge for global fluvial flood risk analysis. Environ. Res. Lett. 2016, 11, 094014. [Google Scholar] [CrossRef]
- Liu, X.Y.; Cui, Y.P.; Shi, Z.F.; Fu, Y.; Run, Y.; Li, M.; Li, N.; Liu, S. Monitoring of floods using multi-source remote sensing images on the GEE platform. Natl. Remote Sens. Bull. 2023, 27, 2179–2190. [Google Scholar] [CrossRef]
- Wang, X.J.; Xia, J.Q.; Dong, B.L.; Hou, J.; Li, Q. Simulation of urban flood using the SWMM with the hierarchical catchment partition method. Adv. Water Sci. 2022, 33, 196–207. [Google Scholar]
- Fang, X.Q.; Jiang, X.Y.; Liao, M.Y.; Ren, L.; Zhu, Q.; Jin, J.; Jiang, S. Spatio-temporal characteristics of global flood disasters during 1980–2020. Adv. Water Sci. 2024, 35, 197–207. [Google Scholar]
- Liu, Y.Z.; Tang, W.; Zhang, W.T. Review of flood disaster risk analysis based on disaster chain. Water Resour. Prot. 2021, 37, 20–27. [Google Scholar]
- Compilation Committee for Yearbook of China Water Resources. Yearbook of China Water Resources 2019; China Water &. Power Press: Beijing, China, 2019. [Google Scholar]
- Xie, J.B.; Sun, D.Y. Statistics of dam failures in China and analysis on failure causations. Water Resour. Hydropower Eng. 2009, 40, 124–128. [Google Scholar]
- Jiang, J.P.; Yang, Z.H. Laws of dam failures of small-sized1reservoirs and counter measures. Chin. J. Geotech. Eng. 2008, 30, 1626–1631. [Google Scholar]
- Cho, S.E. Prediction of shallow landslide by surficial stability analysis considering rainfall infiltration. Eng. Geol. 2017, 231, 126–138. [Google Scholar] [CrossRef]
- He, S.; Qin, F.; Zheng, Z.; Li, T. Changes of soil microrelief and its effect on soil erosion under different rainfall patterns in a laboratory experiment. Catena 2018, 162, 203–215. [Google Scholar] [CrossRef]
- Breinl, K.; Lun, D.; Müller-Thomy, H.; Blöschl, G. Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis. J. Hydrol. 2021, 602, 126759. [Google Scholar] [CrossRef]
- Zhao, Y. Transient stability analysis method and sensitivity study of unsaturated soil slopes under consideration of rainfall conditions. Arab. J. Geosci. 2021, 14, 1179. [Google Scholar] [CrossRef]
- Zheng, X.; Yan, B.; Wang, W.; Du, K.; Fang, Y. Seepage-Deformation Coupling Analysis of a Core Wall Rockfill Dam Subject to Rapid Fluctuations in the Reservoir Water Level. Water 2024, 16, 1621. [Google Scholar] [CrossRef]
- Qin, Z.; Tian, Y.; Gao, S.; Zhou, J.; Zhao, H.; Guo, Z.; Chen, T.; Hua, Z. Numerical investigation1 of the upside-down hanging well combined with curtain grouting for strengthening a flood control ancient levee. Sustainability 2023, 15, 4287. [Google Scholar] [CrossRef]
- Tang, G.P.; Huang, J.S.; Sheng, D.C.; Sloan, S.W. Stability analysis of unsaturated soil slope under random rainfall patterns. Eng. Geol. 2018, 45, 322–332. [Google Scholar] [CrossRef]
- Chang, Z.; Huang, F.; Huang, J.; Jiang, S.-H.; Zhou, C.; Zhu, L. Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall. Eng. Geol. 2021, 280, 105941. [Google Scholar] [CrossRef]
- Jiang, Z.M.; Xiong, X.H.; Zeng, L. Unsaturated seepage analysis of slope under rainfall condition based on FLAC3D. Rock and Soil Mechanics 2014, 35, 855–861. [Google Scholar]
- Zeng, L.; Bian, H.; Shi, Z.; He, Z. Forming condition of transient saturated zone and its distribution in residual slope under rainfall conditions. J. Cent. South Univ. 2017, 24, 1866–1880. [Google Scholar] [CrossRef]
- Moharrami, A.; Hassanza, Y.; Farzin, S. Performance of the horizontal drains in upstream shell of earth dams on the upstream slope stability during rapid drawdown conditions. Arab. J. Geosci. 2014, 7, 1957–1964. [Google Scholar] [CrossRef]
- Cen, W.; Li, D.; Wang, H. Impact of transient seepage on slope stability of earth-rock dams with geomembrane barrier defects. Environ. Geotech. 2020, 7, 581–590. [Google Scholar] [CrossRef]
- Gao, X.C.; Liu, H.L.; Zhang, W.G.; Wang, W.; Wang, Z. Influences of reservoir water level drawdown on slope stability and reliability analysis. Taylor Fr. 2019, 13, 145–153. [Google Scholar] [CrossRef]
- Sun, L.; Tang, X.; Abdelaziz, A.; Liu, Q.; Grasselli, G. Stability analysis of reservoir slopes under fluctuating water levels using the combined finite-discrete element method. Acta Geotech. 2023, 18, 5403–5426. [Google Scholar] [CrossRef]
- Sun, L.; Liu, Q.; Abdelaziz, A.; Tang, X.; Grasselli, G. Simulating the entire progressive failure process of rock slopes using the combined finite-discrete element method. Comput. Geotech. 2022, 141, 104557. [Google Scholar] [CrossRef]
- Sun, L.; Grasselli, G.; Liu, Q.; Tang, X.; Abdelaziz, A. The role of discontinuities in rock slope stability: Insights from a combined finite-discrete element simulation. Comput. Geotech. 2022, 147, 104788. [Google Scholar] [CrossRef]
- Jiang, Q.; Jiao, Y.; Song, L. Experimental study on reservoir landslide under rainfall and water-level fluctuation. Rock Soil Mech. 2019, 40, 4361–4370. [Google Scholar]
- Jian, W.X.; Xu, Q.; Yang, H.F.; Wang, F. Mechanism and failure process of Qian jiang ping landslide in the Three Gorges Reservoir, China. Environ. Earth Sci. 2014, 72, 2999–3013. [Google Scholar] [CrossRef]
- Sun, G.; Yang, Y.; Cheng, S.; Zheng, H. Phreatic line calculation and stability analysis of slopes under the combined effect of reservoir water level fluctuations and rainfall. Can. Geotech. J. 2017, 54, 631–645. [Google Scholar] [CrossRef]
- Yang, B.; Yin, K.; Xiao, T.; Chen, L.; Du, J. Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges Reservoir, China. Environ. Earth Sci. 2017, 76, 564. [Google Scholar] [CrossRef]
- Li, Z.; Fang, Y.X.; Lu, Y. Influence of previous rainfall and reservoir level changes on seepage and stability characteristics of earth and rock dams. Chin. J. Geotech. Eng. 2022, 44, 2177–2186. [Google Scholar]
Material Name | Permeability Coefficient (m/s) | Saturated Volumetric Water Content | Angle of Internal Friction (°) | Cohesion (kPa) | Young’s Modulus (MPa) | Poisson’s Ratio | Density (g/cm−3) |
---|---|---|---|---|---|---|---|
Embankment Foundation | 1.07 × 10−4 | 0.27 | 30 | 10 | 80 | 0.33 | 2.0 |
Embankment Body | 5.88 × 10−5 | 0.29 | 27 | 8 | 70 | 0.30 | 1.8 |
Core Wall | 1.12 × 10−8 | 0.01 | 8 | 32 | 60 | 0.20 | 1.9 |
Working Conditions | Research Content | Sub-Working Conditions | River Water Level (m) | Rate of Change in Water Level (d/mm) | Rainfall |
---|---|---|---|---|---|
A | different river water levels | A1 | 5 | — | the most adverse rainfall |
A2 | 9 | — | |||
B | different water level rise and fall rates | B1 | 5~9 | v1 = 0.8 | — |
B2 | v2 = 2.0 | — | |||
B3 | v3 = 4.0 | — | |||
C | coupled rainfall with different rates of change in water levels | C1 | 5~9 | v1 = 0.8 | the most adverse rainfall |
C2 | v2 = 2.0 | ||||
C3 | v3 = 4.0 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Zhao, W.; Mao, H.; Sun, L.; Lu, X.; Sun, S. Effect of Rainfall and Water Level Rise and Fall on Stability of Core Wall Embankment. Water 2024, 16, 3340. https://doi.org/10.3390/w16233340
Zhao W, Mao H, Sun L, Lu X, Sun S. Effect of Rainfall and Water Level Rise and Fall on Stability of Core Wall Embankment. Water. 2024; 16(23):3340. https://doi.org/10.3390/w16233340
Chicago/Turabian StyleZhao, Wei, Haoyu Mao, Lingfeng Sun, Xujiang Lu, and Shulin Sun. 2024. "Effect of Rainfall and Water Level Rise and Fall on Stability of Core Wall Embankment" Water 16, no. 23: 3340. https://doi.org/10.3390/w16233340
APA StyleZhao, W., Mao, H., Sun, L., Lu, X., & Sun, S. (2024). Effect of Rainfall and Water Level Rise and Fall on Stability of Core Wall Embankment. Water, 16(23), 3340. https://doi.org/10.3390/w16233340